Files
ollama/x/imagegen/api/handler.go
2026-01-09 21:09:46 -08:00

236 lines
6.0 KiB
Go

package api
import (
"encoding/base64"
"fmt"
"net/http"
"os"
"strconv"
"strings"
"time"
"github.com/gin-gonic/gin"
"github.com/ollama/ollama/api"
"github.com/ollama/ollama/llm"
"github.com/ollama/ollama/x/imagegen"
)
// RunnerScheduler is the interface for scheduling a model runner.
// This is implemented by server.Server to avoid circular imports.
type RunnerScheduler interface {
ScheduleImageGenRunner(ctx *gin.Context, modelName string, opts api.Options, keepAlive *api.Duration) (llm.LlamaServer, error)
}
// RegisterRoutes registers the image generation API routes.
func RegisterRoutes(r gin.IRouter, scheduler RunnerScheduler) {
r.POST("/v1/images/generations", func(c *gin.Context) {
ImageGenerationHandler(c, scheduler)
})
}
// ImageGenerationHandler handles OpenAI-compatible image generation requests.
func ImageGenerationHandler(c *gin.Context, scheduler RunnerScheduler) {
var req ImageGenerationRequest
if err := c.BindJSON(&req); err != nil {
c.JSON(http.StatusBadRequest, gin.H{"error": gin.H{"message": err.Error()}})
return
}
// Validate required fields
if req.Model == "" {
c.JSON(http.StatusBadRequest, gin.H{"error": gin.H{"message": "model is required"}})
return
}
if req.Prompt == "" {
c.JSON(http.StatusBadRequest, gin.H{"error": gin.H{"message": "prompt is required"}})
return
}
// Apply defaults
if req.N == 0 {
req.N = 1
}
if req.Size == "" {
req.Size = "1024x1024"
}
if req.ResponseFormat == "" {
req.ResponseFormat = "b64_json"
}
// Verify model exists
if imagegen.ResolveModelName(req.Model) == "" {
c.JSON(http.StatusNotFound, gin.H{"error": gin.H{"message": fmt.Sprintf("model %q not found", req.Model)}})
return
}
// Parse size
width, height := parseSize(req.Size)
// Build options - we repurpose NumCtx/NumGPU for width/height
opts := api.Options{}
opts.NumCtx = int(width)
opts.NumGPU = int(height)
// Schedule runner
runner, err := scheduler.ScheduleImageGenRunner(c, req.Model, opts, nil)
if err != nil {
status := http.StatusInternalServerError
if strings.Contains(err.Error(), "not found") {
status = http.StatusNotFound
}
c.JSON(status, gin.H{"error": gin.H{"message": err.Error()}})
return
}
// Build completion request
completionReq := llm.CompletionRequest{
Prompt: req.Prompt,
Options: &opts,
}
if req.Stream {
handleStreamingResponse(c, runner, completionReq, req.ResponseFormat)
} else {
handleNonStreamingResponse(c, runner, completionReq, req.ResponseFormat)
}
}
func handleStreamingResponse(c *gin.Context, runner llm.LlamaServer, req llm.CompletionRequest, format string) {
c.Header("Content-Type", "text/event-stream")
c.Header("Cache-Control", "no-cache")
c.Header("Connection", "keep-alive")
var imagePath string
err := runner.Completion(c.Request.Context(), req, func(resp llm.CompletionResponse) {
if resp.Done {
imagePath = extractPath(resp.Content)
} else {
progress := parseProgress(resp.Content)
if progress.Total > 0 {
c.SSEvent("progress", progress)
c.Writer.Flush()
}
}
})
if err != nil {
c.SSEvent("error", gin.H{"error": err.Error()})
return
}
c.SSEvent("done", buildResponse(imagePath, format))
}
func handleNonStreamingResponse(c *gin.Context, runner llm.LlamaServer, req llm.CompletionRequest, format string) {
var imagePath string
err := runner.Completion(c.Request.Context(), req, func(resp llm.CompletionResponse) {
if resp.Done {
imagePath = extractPath(resp.Content)
}
})
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": gin.H{"message": err.Error()}})
return
}
c.JSON(http.StatusOK, buildResponse(imagePath, format))
}
func parseSize(size string) (int32, int32) {
parts := strings.Split(size, "x")
if len(parts) != 2 {
return 1024, 1024
}
w, _ := strconv.Atoi(parts[0])
h, _ := strconv.Atoi(parts[1])
if w == 0 {
w = 1024
}
if h == 0 {
h = 1024
}
return int32(w), int32(h)
}
func extractPath(content string) string {
if idx := strings.Index(content, "Image saved to: "); idx >= 0 {
return strings.TrimSpace(content[idx+16:])
}
return ""
}
func parseProgress(content string) ImageProgressEvent {
var step, total int
fmt.Sscanf(content, "\rGenerating: step %d/%d", &step, &total)
return ImageProgressEvent{Step: step, Total: total}
}
func buildResponse(imagePath, format string) ImageGenerationResponse {
resp := ImageGenerationResponse{
Created: time.Now().Unix(),
Data: make([]ImageData, 1),
}
if imagePath == "" {
return resp
}
if format == "url" {
resp.Data[0].URL = "file://" + imagePath
} else {
data, err := os.ReadFile(imagePath)
if err == nil {
resp.Data[0].B64JSON = base64.StdEncoding.EncodeToString(data)
}
}
return resp
}
// HandleGenerateRequest handles Ollama /api/generate requests for image gen models.
// This allows routes.go to delegate image generation with minimal code.
func HandleGenerateRequest(c *gin.Context, scheduler RunnerScheduler, modelName, prompt string, keepAlive *api.Duration, streamFn func(c *gin.Context, ch chan any)) {
opts := api.Options{}
// Schedule runner
runner, err := scheduler.ScheduleImageGenRunner(c, modelName, opts, keepAlive)
if err != nil {
c.JSON(http.StatusInternalServerError, gin.H{"error": err.Error()})
return
}
// Build completion request
completionReq := llm.CompletionRequest{
Prompt: prompt,
Options: &opts,
}
// Stream responses via channel
ch := make(chan any)
go func() {
defer close(ch)
err := runner.Completion(c.Request.Context(), completionReq, func(resp llm.CompletionResponse) {
ch <- GenerateResponse{
Model: modelName,
CreatedAt: time.Now().UTC(),
Response: resp.Content,
Done: resp.Done,
}
})
if err != nil {
// Log error but don't block - channel is already being consumed
_ = err
}
}()
streamFn(c, ch)
}
// GenerateResponse matches api.GenerateResponse structure for streaming.
type GenerateResponse struct {
Model string `json:"model"`
CreatedAt time.Time `json:"created_at"`
Response string `json:"response"`
Done bool `json:"done"`
}